Search Results - "Zhi-Hui Zhan"

A survey on evolutionary computation for complex continuous optimization by Zhan, Zhi-Hui, Shi, Lin, Tan, Kay Chen, Zhang, Jun

“…Complex continuous optimization problems widely exist nowadays due to the fast development of the economy and society. Moreover, the technologies like Internet…”
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SAFE: Scale-Adaptive Fitness Evaluation Method for Expensive Optimization Problems by Wu, Sheng-Hao, Zhan, Zhi-Hui, Zhang, Jun

“…The key challenge of expensive optimization problems (EOP) is that evaluating the true fitness value of the solution is computationally expensive. A common…”
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Coevolutionary Particle Swarm Optimization With Bottleneck Objective Learning Strategy for Many-Objective Optimization by Liu, Xiao-Fang, Zhan, Zhi-Hui, Gao, Ying, Zhang, Jie, Kwong, Sam, Zhang, Jun

“…The application of multiobjective evolutionary algorithms to many-objective optimization problems often faces challenges in terms of diversity and convergence…”
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A Meta-Knowledge Transfer-Based Differential Evolution for Multitask Optimization by Li, Jian-Yu, Zhan, Zhi-Hui, Tan, Kay Chen, Zhang, Jun

“…Knowledge transfer plays a vastly important role in solving multitask optimization problems (MTOPs). Many existing methods transfer task-specific knowledge,…”
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Adaptive Particle Swarm Optimization by Zhi-Hui Zhan, Jun Zhang, Yun Li, Chung, H.S.-H.

“…An adaptive particle swarm optimization (APSO) that features better search efficiency than classical particle swarm optimization (PSO) is presented. More…”
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Boosting Data-Driven Evolutionary Algorithm With Localized Data Generation by Li, Jian-Yu, Zhan, Zhi-Hui, Wang, Chuan, Jin, Hu, Zhang, Jun

“…By efficiently building and exploiting surrogates, data-driven evolutionary algorithms (DDEAs) can be very helpful in solving expensive and computationally…”
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Resource-Aware Distributed Differential Evolution for Training Expensive Neural-Network-Based Controller in Power Electronic Circuit by Liu, Xiao-Fang, Zhan, Zhi-Hui, Zhang, Jun

“…The neural-network (NN)-based control method is a new emerging promising technique for controller design in a power electronic circuit (PEC). However, the…”
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An Efficient Ant Colony System Approach for New Energy Vehicle Dispatch Problem by Liang, Di, Zhan, Zhi-Hui, Zhang, Yanchun, Zhang, Jun

“…As a powerful measure to alleviate greenhouse gas emissions and global warming issue, new energy vehicle (NEV) has aroused extensive attention from the whole…”
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Multipopulation Ant Colony System With Knowledge-Based Local Searches for Multiobjective Supply Chain Configuration by Zhang, Xin, Zhan, Zhi-Hui, Fang, Wei, Qian, Pengjiang, Zhang, Jun

“…Supply chain management (SCM) is a significant and complex system in a smart city that requires advanced artificial intelligence (AI) and optimization…”
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Triple Archives Particle Swarm Optimization by Xia, Xuewen, Gui, Ling, Yu, Fei, Wu, Hongrun, Wei, Bo, Zhang, Ying-Long, Zhan, Zhi-Hui

“…There are two common challenges in particle swarm optimization (PSO) research, that is, selecting proper exemplars and designing an efficient learning model…”
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Distributed Individuals for Multiple Peaks: A Novel Differential Evolution for Multimodal Optimization Problems by Chen, Zong-Gan, Zhan, Zhi-Hui, Wang, Hua, Zhang, Jun

“…Locating more peaks and refining the solution accuracy on the found peaks are two challenging issues in solving multimodal optimization problems (MMOPs). To…”
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A multi-swarm particle swarm optimization algorithm based on dynamical topology and purposeful detecting by Xia, Xuewen, Gui, Ling, Zhan, Zhi-Hui

“…•An entire population is divided into many parallel evolved sub-swarms in the early stage.•A dynamic sub-swarm number strategy (DNS) periodically reduces the…”
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Memory-Based Ant Colony System Approach for Multi-Source Data Associated Dynamic Electric Vehicle Dispatch Optimization by Shi, Lin, Zhan, Zhi-Hui, Liang, Di, Zhang, Jun

“…The developments of electric vehicle (EV) technology and mobile internet technology have made the EV-oriented ride-hailing service a trend in smart cities. In…”
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Automatic Niching Differential Evolution With Contour Prediction Approach for Multimodal Optimization Problems by Wang, Zi-Jia, Zhan, Zhi-Hui, Lin, Ying, Yu, Wei-Jie, Wang, Hua, Kwong, Sam, Zhang, Jun

“…Niching techniques have been widely incorporated into evolutionary algorithms (EAs) for solving multimodal optimization problems (MMOPs). However, most of the…”
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A Bi-objective Knowledge Transfer Framework for Evolutionary Many-Task Optimization by Jiang, Yi, Zhan, Zhi-Hui, Tan, Kay Chen, Zhang, Jun

“…Many-task optimization problem is a kind of challenging multi-task optimization problem with more than three tasks. Two significant issues in solving many-task…”
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Surrogate-Assisted Hybrid-Model Estimation of Distribution Algorithm for Mixed-Variable Hyperparameters Optimization in Convolutional Neural Networks by Li, Jian-Yu, Zhan, Zhi-Hui, Xu, Jin, Kwong, Sam, Zhang, Jun

“…The performance of a convolutional neural network (CNN) heavily depends on its hyperparameters. However, finding a suitable hyperparameters configuration is…”
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Orthogonal Learning Particle Swarm Optimization by Zhan, Zhi-Hui, Zhang, Jun, Li, Yun, Shi, Yu-Hui

“…Particle swarm optimization (PSO) relies on its learning strategy to guide its search direction. Traditionally, each particle utilizes its historical best…”
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Adaptive Distributed Differential Evolution by Zhan, Zhi-Hui, Wang, Zi-Jia, Jin, Hu, Zhang, Jun

“…Due to the increasing complexity of optimization problems, distributed differential evolution (DDE) has become a promising approach for global optimization…”
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Data-Driven Evolutionary Algorithm With Perturbation-Based Ensemble Surrogates by Li, Jian-Yu, Zhan, Zhi-Hui, Wang, Hua, Zhang, Jun

“…Data-driven evolutionary algorithms (DDEAs) aim to utilize data and surrogates to drive optimization, which is useful and efficient when the objective function…”
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An expanded particle swarm optimization based on multi-exemplar and forgetting ability by Xia, Xuewen, Gui, Ling, He, Guoliang, Wei, Bo, Zhang, Yinglong, Yu, Fei, Wu, Hongrun, Zhan, Zhi-Hui

“…There are two phenomena in human society and biological systems. One is that people prefer to extract knowledge from multiple exemplars to obtain better…”
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